Reduced Order Modelling of Gust Analysis Using Computational Fluid Dynamics

Thormann, Reik; Bekemeyer, Philipp; Timme, Sebastian

doi:10.7712/100016.2343.5441

Cited by 4 publications

(2 citation statements)

References 18 publications

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“…The goal of the MOR techniques is to produce a system that shows similar aeroelastic response characteristics as the original, but consists of significantly fewer state variables, leading to a reduction in computational cost. Majority of the work done [11][12][13][14][15] was focused on using MOR techniques to reduce the computational fluid dynamics (CFD) models to predict the gust response. In the early stages of the design process, there is a need to evaluate a multitude of designs.…”

Section: Introductionmentioning

confidence: 99%

Preliminary aeroelastic design of composite wings subjected to critical gust loads

Rajpal

Gillebaart

Breuker

2019

Aerospace Science and Technology

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Including a gust analysis in an optimization framework is computationally expensive as the critical load cases are not known a priori and hence a large number of points within the flight envelope have to be analyzed. Model order reduction techniques can provide significant improvement in computational efficiency of an aeroelastic analysis. In this paper, after thorough analysis of 4 commonly used model order reduction methods, balanced proper orthogonal decomposition is selected to reduce the aerodynamic system which is based on potential flow theory. The reduced aerodynamic system is coupled to a structural solver to obtain a reduced-order aeroelastic model. It is demonstrated that the dominant modes of the aerodynamic model can be assumed to be constant for varying equivalent airspeed and Mach number, enabling the use of a single reduced model for the entire flight envelope. A dynamic aeroelastic optimization method is then formulated using the reduced-order aeroelastic model. Results show that both dynamic and static loads play a role in optimization of the wing structure. Furthermore, the worst case gust loads change during the optimization process and it is important to identify the critical loads at every iteration in the optimization.

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Section: Introductionmentioning

confidence: 99%

Preliminary aeroelastic design of composite wings subjected to critical gust loads

Rajpal

Gillebaart

Breuker

2019

Aerospace Science and Technology

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“…Linearised CFD aerodynamics were first considered to analyse the dynamic response of a pitch-plunge aerofoil (15) . Recently, an application for gust responses has been presented for a NACA0012 aerofoil in sub-and transonic flow conditions (16,17) , showing excellent agreement at several orders of magnitude reduced computational cost. Combining POD with a linearised frequency-domain method not only reduces computational cost further, but, more importantly, an interpolation for frequencies not pre-computed can be avoided.…”

Section: Introductionmentioning

confidence: 99%

Rapid gust response simulation of large civil aircraft using computational fluid dynamics

2017

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Several critical load cases during the aircraft design process result from atmospheric turbulence. Thus, rapidly performable and highly accurate dynamic response simulations are required to analyse a wide range of parameters. A method is proposed to predict dynamic loads on an elastically trimmed, large civil aircraft using computational fluid dynamics in conjunction with model reduction. A small sized modal basis is computed by sampling the aerodynamic response at discrete frequencies and applying proper orthogonal decomposition. The linear operator of the Reynolds-averaged Navier-Stokes equations plus turbulence model is then projected onto the subspace spanned by this basis. The resulting reduced system is solved at an arbitrary number of frequencies to analyse responses to 1-cos gusts very efficiently. Lift coefficient and surface pressure distribution are compared with full order, non-linear, unsteady time-marching simulations to verify the method. Overall, the reduced order model predicts highly accurate global coefficients and surface loads at a fraction of the computational cost, which is an important step towards the aircraft loads process relying on computational fluid dynamics. * Corresponding author Received DD MM YYYY; revised DD MM YYYY; accepted DD MM YYYY.

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Model reduction for flight dynamics simulations using computational fluid dynamics

Pagliuca

Timme

2017

Aerospace Science and Technology

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Reduced Order Modelling of Gust Analysis Using Computational Fluid Dynamics

Abstract: Abstract. The simulation of gust responses is a crucial task in the design

Cited by 4 publications

References 18 publications

Preliminary aeroelastic design of composite wings subjected to critical gust loads

Preliminary aeroelastic design of composite wings subjected to critical gust loads

Rapid gust response simulation of large civil aircraft using computational fluid dynamics

Model reduction for flight dynamics simulations using computational fluid dynamics

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